Numerical courses usually use parallel programming thoughts resembling OpenMP to compute the program's output values as effective as attainable. moreover, by-product values of those output values with appreciate to convinced enter values play a vital function. to accomplish code that computes not just the output values concurrently but in addition the by-product values, this paintings introduces a number of source-to-source transformation principles. those ideas are in keeping with a method known as algorithmic differentiation. the focus of this paintings lies at the very important opposite mode of algorithmic differentiation. The inherent data-flow reversal of the opposite mode has to be dealt with appropriately throughout the transformation. the 1st a part of the paintings examines the alterations in a really normal approach because pragma-based parallel areas ensue in lots of other forms akin to OpenMP, OpenACC, and Intel Phi. the second one half describes the transformation principles of an important OpenMP constructs.

This booklet constitutes the refereed court cases of the 18th Australian Joint convention on synthetic Intelligence, AI 2005, held in Sydney, Australia in December 2005. The seventy seven revised complete papers and 119 revised brief papers awarded including the abstracts of three keynote speeches have been conscientiously reviewed and chosen from 535 submissions.

This e-book includes a set of top of the range papers in chosen issues of Discrete arithmetic, to have fun the sixtieth birthday of Professor Jarik Nešetril. best specialists have contributed survey and study papers within the parts of Algebraic Combinatorics, Combinatorial quantity thought, online game idea, Ramsey thought, Graphs and Hypergraphs, Homomorphisms, Graph colors and Graph Embeddings.

This Festschrift quantity, released in get together of the fiftieth Anniversary of man-made Intelligence, contains 34 refereed papers written via prime researchers within the box of synthetic Intelligence. The papers have been rigorously chosen from the invited lectures given on the fiftieth Anniversary Summit of AI, held on the Centro Stefano Franscini, Monte Verit`, Ascona, Switzerland, July 9-14, 2006.

In the best case, the compiler gives a warning but this presupposes that the compiler can expect what the developer probably wanted to do, which is often not the case. Example 5. (Wrong OpenMP code) Although at first glance the code below looks fine, the result that elements in y are zero may be surprising. The developer probably wanted to share the work among the threads but instead each thread evaluates the exact same code. 1 #pragma omp p a r a l l e l 2 { 3 int i←0; 4 f o r ( i ← 0 ; i

Once outside the parallel region, once inside the parallel region. The memory model of OpenMP determines that all references defined inside the parallel region are private references and only visible for each individual thread. The column with the header line labeled with ’&x’ displays that the code has three instances of x. One for each thread and one that is accessed only from outside of the parallel region. The latter one is not accessible from inside the parallel region since all references to x are linked to the private instance of x.